Paper
23 November 2022 Design of pipeline sorting device based on OpenMV
Xiaohui Shan, Jiande Su, Shijie Gao
Author Affiliations +
Proceedings Volume 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022); 124541D (2022) https://doi.org/10.1117/12.2658691
Event: International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 2022, Hohhot, China
Abstract
Aiming at the low-efficiency and high-cost manual sorting status of the assembly line and the need to select a specific product among many goods, a conveyor belt sorting device based on the color, shape, label and characteristics of the goods is designed. According to the design requirements of the system, the detection principles of the Kirchhoff circle detection algorithm and the AprilTag labeling algorithm are analyzed, and the trained model is deployed to the embedded terminal based on the TensorFlow Lite parser. Finally, combined with the STC90C52 microcontroller, a new method based on the characteristics of the goods is proposed. The method of classifying with different algorithms not only improves the operation efficiency of the equipment but also reduces the sorting error rate. The experimental results show that the device can sort all kinds of goods efficiently and achieve the expected design effect.
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaohui Shan, Jiande Su, and Shijie Gao "Design of pipeline sorting device based on OpenMV", Proc. SPIE 12454, International Symposium on Robotics, Artificial Intelligence, and Information Engineering (RAIIE 2022), 124541D (23 November 2022); https://doi.org/10.1117/12.2658691
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KEYWORDS
Image processing

Data modeling

Microcontrollers

Control systems

Electronics engineering

Neural networks

Servomechanisms

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